Qi Zhou

13 papers A* 6A 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Efficient Exploration in Resource-Restricted Reinforcement Learning. AAAI Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang
2023	J	`jnl`	Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. CoRR Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu
2023	A	`conf`	Learning robust representation for reinforcement learning with distractions by reward sequence prediction. UAI Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li
2023	A*	`conf`	Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. AAAI Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang
2023	J	`jnl`	Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. CoRR Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang
2022	J	`jnl`	Efficient Exploration in Resource-Restricted Reinforcement Learning. CoRR Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang
2022	A*	`conf`	Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. AAAI Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2022	A*	`conf`	Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. AAAI Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2021	J	`jnl`	Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. CoRR Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2021	J	`jnl`	Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. CoRR Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
2020	A*	`conf`	Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. AAAI Qi Zhou, Houqiang Li, Jie Wang
2020	A*	`conf`	Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. NeurIPS Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang
2019	J	`jnl`	Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. CoRR Qi Zhou, Houqiang Li, Jie Wang

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski